EP 3955217 A3 20220427 - HUMAN BEHAVIOR RECOGNITION METHOD, APPARATUS, STORAGE MEDIUM AND PROGRAM PRODUCT
Title (en)
HUMAN BEHAVIOR RECOGNITION METHOD, APPARATUS, STORAGE MEDIUM AND PROGRAM PRODUCT
Title (de)
VERFAHREN ZUR ERKENNUNG MENSCHLICHEN VERHALTENS, VORRICHTUNG, SPEICHERMEDIUM UND PROGRAMMPRODUKT
Title (fr)
PROCÉDÉ DE RECONNAISSANCE DE COMPORTEMENT HUMAIN, APPAREIL, SUPPORT D'INFORMATIONS ET PRODUIT-PROGRAMME
Publication
Application
Priority
CN 202110099947 A 20210125
Abstract (en)
A human behavior recognition method and apparatus, a storage medium and a computer program product are provided, which are related to the field of artificial intelligence, specifically to computer vision and deep learning technologies, and applicable to smart city scenarios. The method includes: obtaining attribute information of a target object and N pieces of candidate behavior-related information of a target human from a target image, wherein N is an integer greater than or equal to 1; determining target behavior-related information based on comparison results between the N pieces of candidate behavior-related information and the attribute information of the target object; and determining a behavior recognition result of the target human based on the target behavior-related information. Technical solutions of the present disclosure can improve precision and accuracy of human behavior recognition, and avoid misrecognition, thereby improving user satisfaction.
IPC 8 full level
G06V 20/52 (2022.01); G06V 40/20 (2022.01)
CPC (source: CN EP US)
G06F 18/24 (2023.01 - CN); G06N 3/04 (2013.01 - CN); G06N 3/084 (2013.01 - CN); G06V 10/40 (2022.01 - CN US); G06V 10/751 (2022.01 - US); G06V 20/52 (2022.01 - EP US); G06V 40/20 (2022.01 - CN EP US)
Citation (search report)
- [XI] ZHOU PENGHAO ET AL: "Relation Parsing Neural Network for Human-Object Interaction Detection", 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), IEEE, 27 October 2019 (2019-10-27), pages 843 - 851, XP033723191, DOI: 10.1109/ICCV.2019.00093
- [XI] YAO BANGPENG ET AL: "Modeling mutual context of object and human pose in human-object interaction activities", 2010 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 13-18 JUNE 2010, SAN FRANCISCO, CA, USA, 18 June 2010 (2010-06-18), Piscataway, NJ, USA, pages 17 - 24, XP055902806, ISBN: 978-1-4244-6984-0, Retrieved from the Internet <URL:http://vision.stanford.edu/pdf/YaoFei-Fei_CVPR2010b.pdf> [retrieved on 20220317], DOI: 10.1109/CVPR.2010.5540235
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
EP 3955217 A2 20220216; EP 3955217 A3 20220427; CN 112784760 A 20210511; CN 112784760 B 20240412; US 11823494 B2 20231121; US 2022027606 A1 20220127
DOCDB simple family (application)
EP 21200368 A 20210930; CN 202110099947 A 20210125; US 202117494724 A 20211005